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i-manager's Journal on Electrical Engineering (JEE)

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PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
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Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design

Most Cited

Volume 8 Issue 4 April - June 2015

Research Paper

Transient Analysis of High-Phase Induction Machines

M. Rizwan Khan* , Islam Khan**

* Associate Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India

** Assistant Professor, ACN College of Engineering and Management Studies, Aligarh, India.

Khan, M. R., and Khan, I. (2015). Transient Analysis of High-Phase Induction Machines. i-manager’s Journal on Electrical Engineering, 8(4), 1-6. https://doi.org/10.26634/jee.8.4.3375

Abstract

In this work, an attempt is made to provide a detailed analysis on the different performance indices of a three phase and high phase induction motor in the SIMULINK environment. There may be two types of configurations possible. The first configuration is made by adding externally a number of identical windings in the already existing three phase induction motor, and the second configuration, in which the same machine is wound for different phase numbers. The relevant changes in the motor, is reported in this paper. Simulations for the second case has been carried out and the results from the simulations show that high phases (3, 5, 7) have better performance characteristics such as speed, torque, current etc. as compared to three-phase counterpart machine. The findings are verified by experimentation.

References

[1]. M. Rizwan Khan and Islam Khan, (2013). Analysis of High Phase Induction Machine”, IEEE Int. Conf. on INDICON, 13-15 December, IIT-Mumbai, Paper ID: 681, ISBN: 978-1-4799-2274-1.

[2]. E. Levi, M. Jones, S.N. Vukosavic and H.A. Toliyat, (2004). “A novel concept of a Multiphase, Multi-motor vector controlled drive system supplied from a single voltage source inverter,” IEEE Trans. on Power Electronics, Vol. 19, No. 2, pp. 320-335.

[3]. E. Levi, (2008). “Multiphase electric machines for variable-speed applications,” IEEE Trans. on Ind. Electron., Vol. 55, No. 5, pp. 1893– 1909.

[4]. E. Levi, (2006). “Recent developments in high performance variable-speed multiphase induction motor drive,” Sixth International Symposium Nikola Tesla, October 18-20.

[5]. A. Ablel-khalik, S. Ahmed, and A. Masood, ( “Comparative evaluation of four Quasi-Square wave fed Multiphase Induction Machines,” IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society, pp. 3476 – 3481.

[6]. E. Levi, R.Bojoi, F.Profumo, H.A. Toliyat and S.Williamson, (2007). “Multiphase induction motor drivesa technology status review,” IET Elect. Power Appl., Vol 4, No. 4, pp.489-516.

[7]. G. K. Singh, (2002). “Multi-phase induction machine drive research – a survey,” Electric Power Systems Research, Vol. 61, pp. 139-147.

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Research Paper

Bearing Fault Detection in PWM Inverter Fed Induction Motor Drives by Transformative Techniques

Khadim Moin Siddiqui* , Kuldeep Sahay, V. K. Giri*

* Research Scholar, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, India.

Professor, Department of Electrical Engineering, An Autonomous Constituent Institute of Uttar Pradesh Technical University, Lucknow, India.

* Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Siddiqui, K. M., Sahay, K., and Giri, V. K. (2015). Transient Analysis of High-Phase Induction Machines. i-manager’s Journal on Electrical Engineering, 8(4), 7-18. https://doi.org/10.26634/jee.8.4.3376

Abstract

Nowadays, the Squirrel Cage Induction Motor(SCIM) fed with PWM (Pulse Width Modulated) inverter is being extensively used in the industries to achieve variable speed for many applications. It provides greater advantages on cost and energy efficiency for varying speed applications as compared to other available industrial solutions. These kinds of drives are recently gathering enormous interest in the multi-megawatt industrial drive applications. In this paper, the bearing fault of the SCIM has been diagnosed in the transient condition as well as steady state conditions by advanced Digital Signal Processing(DSP) transformative techniques. The bearing fault has been diagnosed in the steady state condition by Fast Fourier Transform (FFT) algorithm and in the transient condition by time domain as well as wavelet transform. The results obtained by all three transformative techniques has been compared and it has been concluded that the wavelet transform is most suitable technique for early fault detection purpose. As a result, an early diagnosis of bearing fault is possible by wavelet transform and damage can be averted. Thus, industries can save money using this approach.

References

[1]. Siddiqui, K.M., Sahay, K., & Giri, V.K., (2014). “Modelling and Detection of Bearing Fault in PWM Inverter Fed Induction Motor Drives”, i-manager's Journal on Electrical Engineering,8(1) Jul - Sep 2014, print ISSN 0973- 8835, E-ISSN 2230-7176, pp. 11-24.

[2]. Nandi, S., & Toliyat, H.A., (1999). “Condition Monitoring and Fault Diagnosis of Electrical Machine”, In Proc. IEEE IAS Annual Meeting, Vol. 1, pp. 197-204.

[3]. Benbouzid, M. E. H., (2000). “A Review of Induction Motor Signature Analysis as a Medium for Faults Detection”, IEEE Transactions on Industrial Electronics, Vol. 47, No. 5.

[4]. Riera-Guasp, M., Antonino-Daviu, J., Pineda- Sanchez, M., Puche Panadero, R., & PerezCruz, J., (2008). “A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform”, IEEE Transactions on Industrial Electronics, Vol. 55, No. 12, pp. 4167-4180.

[5]. Schoen, R., Habetler, T., Kamran, F., & Bartheld, R., (1995). “Motor Bearing Damage Detection using Stator Current Monitoring”, IEEE trans. Ind. Applicat., Vol. 31, No. 6, pp. 1274-1279.

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[8]. Siddiqui, K.M., & Giri, V.K., (2012). “Broken Rotor Bar Fault Detection in Induction Motors using Wavelet Transform”, Int. Conf. Proc., IEEE, Computing, Electronics and Electrical Technologies [ICCEET], Chennai, INDIA, pp. 1-6.

[9]. Ayaz, E., (2006). “Continuous Wavelet Transform for Bearing Damage Detection in Electric Motors”, IEEE MELECON, Benalmadena (Malaga), Spain, pp. 16-19.

[10]. Siddiqui, K.M., Sahay, K., & Giri, V.K., (2014). “Health Monitoring and Fault Diagnosis in Induction Motor- A Review”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 3, No. 1, pp. 6549-6565.

[11]. Singhal, A., Khandekar, M.A., (2013). “Bearing Fault Detection in Induction Motor Using Fast Fourier Transform”, IEEE Int. Conf. on Advanced Research in Engineering & Technology.

[12]. Ozelgin, I., (2008). “Analysis of Magnetic Flux Density for Air-gap Eccentricity and Bearing Faults”, International Journal of Systems Applications, Engineering & Development, Vol.2 , No. 4.

[13]. Ye, Z., Wu, B., & Sadeghian, A., (2003). “Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition”, IEEE Trans. Industrial Electronics, Vol. 50, No. 6.

[14]. Douglas, H., Pillay, P., & Ziarani, A.K., (2004). “A New Algorithm for Transient Motor Current Signature Analysis Using Wavelets”, IEEE Transactions on Industr y Applications, Vol. 40, No. 5.

[15]. Pons-Llinares, J, Antonino-Daviu, J, Roger-Folch, J., Morinigo-Sotelo, D. and Duque-Perez, O, (2010). “Eccentricity Diagnosis in Inverter Fed Induction Motors via the Analytic Wavelet Transform of Transient Currents”, XIX International Conference on Electrical Machines (ICEM), pp.1 -6.

[16]. Jung, J.H., Jong, J.L., & Bong, H.K.,(2006). “Online Diagnosis of Induction Motors Using MCSA”, IEEE Trans on Industrial, Vol. 53, pp. 1842-1852.

[17]. Watson, J.F., & Elder, S., (1989). “Fault Detection in Induction Motors as a Result of Transient Analysis”, In Conf. Proc. IEEE Electrical Machines and Drives, pp. 182-186.

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[20]. Ponci, F., Monti, A., Cristaldi, L., & Lazzaroni, M., (2007). “Diagnostic of a Faulty Induction Motor Drive via Wavelet Decomposition”, IEEE Transactions on Instrumentation and Measurement, Vol. 56 No. 6, pp. 2606 –2615.

[21]. Zhang Pinjia, D. Y., Habetler, T.G., & Bin, L., (2011). “A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors”, IEEE Transactions on Industry Applications, Vol.47, No. 1, pp.34 – 46.

[22]. Daubechies, I., (1990). “The Wavelet Transform, Time-Frequency Localization and Signal Analysis”, IEEE Transactions on Information Theory, Vol. 36, pp. 961- 1005.

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Research Paper

SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals

Anand Deshmukh* , Shekhappa G. Ankaliki **

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.

** Professor and PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.

Deshmukh, A., and Ankaliki, S. G. (2015). SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals. i-manager’s Journal on Electrical Engineering, 8(4), 19-25. https://doi.org/10.26634/jee.8.4.3377

Abstract

Power quality analysis is a classical problem in Electrical Engineering, since the electrical signal contains transients' disturbances, that can be caused for diverse reasons: Switching of electrical motors, capacitor banks, etc. For improving the power quality knowledge, it is necessary to analyze efficiently the different disturbances. The objective is to identify the transients in real time, to be corrected immediately. One of the most important issues in power quality problems is, how to detect and classify disturbance waveforms automatically in an efficient manner. Automatic disturbance recognition can be carried out with the help of a wavelet transform. The approach proposed in this paper is robust in detecting and localizing a wide range of power disturbances such as fast voltage fluctuations, short and long duration voltage variations, transients, noise and harmonic distortion.

References

[1]. M. H. Bollen, (2001). “Understanding Power Quality Problems”, IEEE Press.

[2]. G. T. Hedyt, (1998). “Electrical Power Quality: a tutorial introduction,” IEEE Computer Applications in Power, Vol. 11, pp 15-19.

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[4]. IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Std.1159, 1995.

[5]. IEEE Guide for Service to Equipment Sensitive to Momentary Voltage Disturbances.

[6] McGranaghan, M.F. (2001). “Trends in Power Quality Monitoring”, IEEE Power Eng. Rev. J., Vol. 21,No. 10, pp. 3–9.

[7]. O. Poisson, P. Rioual, and M. Meunier, (2000). “Detection and Measurement of Power Quality Disturbances Using Wavelet Transform,” IEEE Trans. Power Del., Vol. 15, No. 3, pp. 1039–1044.

[8]. P. K. Dash, B. K. Panigrahi, and G. Panda, (2003). “Power Quality Analysis Using S-transform,” IEEE Trans. Power Del., Vol. 18, No. 2, pp. 406–411.

[9]. S. Shukla, S. Mishra, and B. Singh, (2009). “Empiricalmode decomposition with Hilbert transform for powerquality assessment,” IEEE Trans. Power Del., Vol. 24, No. 4, pp. 2159–2165.

[10]. G. Y. Li, Y. Luo, M. Zhou, and Y.-B. Wang, (2006). “Power Quality Disturbance Detection and Location based on Mathematical Morphology and grille fractal,” Proc. CSEE, Vol. 26, No. 3, pp. 25–30.

[11]. Axelberg, P.G.V., Irene, Y.H.G., Bollen, M.H.J.: (2007). “Support Vector Machine for Classification of Voltage Disturbances”, IEEE Trans.Power Deliv., Vol. 22, No. 3, pp. 1297–1303.

[12]. Stayvaktakis, E., Bollen, M.H.J.,Gu, I.Y. (2002). “Expert System for Classification and Analysis of Power System Events”, IEEE Trans. Power Deliv., Vol. 17, No. 2, pp. 423–428.

[13]. Gerek, O¨.N., Ece, D.G., Barkana, A.: (2006). “Covariance Analysis of Voltage Waveform Signature for Power Quality Event Classification”, IEEE Trans. Power Deliv., Vol. 21, No. 4, pp. 2022–2031.

[14]. Stayvaktakis, E., Bollen, M.H.J., Gu, I.Y.: (2002). “Automatic Classification of Power System Events Using RMS Voltage Measurements”, Power Eng. Soc. Summer Meeting, Vol. 2, pp. 824–829.

[15]. Santoso, S., Grady, W.M., Powers, E.J., Lamoree, J., Bhatt, S.C.: (2000). “A Scalable PQ Event Identification System”, IEEE Trans. Power Deliv., Vol. 15, No. 2, pp. 738–743.

[16]. Panigrahi, B.K., Pandi, V.R.: (2009). “Optimal Feature Selection for Classification of Power Quality Disturbances Using Wavelet Packet-Based Fuzzy K-Nearest Neighbour Algorithm”, IET Gener. Transm. Distrib., Vol. 3, No. 3, pp. 296–306.

[17]. Eris, ti, H., Uc, ar, A., Demir, Y.: (2010), “Wavelet- Based Feature Extraction and Selection For Classification of Power System Disturbances Using Support Vector Machines”, Electr. Power Syst. Res., Vol. 80, No. 7, pp. 743–752.

[18]. Olivier Rioul and Pierre Duhamel, (1992). “Fast Algorithms for Discrete and Continuous Wavelet Transforms,” IEEE Trans. Information Theory, Vol.38, No.2, pp.569-586.

[19]. IEEE recommended practice for monitoring electric power quality, IEEE std. 1159-2009 (revision of IEEE std. 1159-1995).

[20]. S. Vanga and S.N.V. Ganesh (2012), “Comparison of Fourier Transform and Wavelet Packet Transform for Quantification of Power Quality ”,International Conference on Advances in Power Conversion and Energy Technologies, pp. 1-6.

[21]. M. V. Chillukuri, P. K. Dash, and K. P. Basu, (2004). “Time-Frequency Based Pattern Recognition Technique for Detection and Classification of Power Quality Disturbances,” TENCON 2004, IEEE Region 10 Conf. 2004, Vol. 3, pp. 260-263.

[22]. W. Kanitpanyacharoean and S. Premrudee preechacharn, (2004), “Power Quality Problem Classification Using Wavelet Transformation and Artificial Neural Networks”, Power Systems Conference and Exposition, pp. 1496-1501.

[23]. I. Y. H. Gu, and E. Styvaktakis, (2003). “Bridge the Gap: Signal Processing for Power Quality Applications”, Elsevier Electric Power System Research, Vol. 66, pp. 83- 96.

[24]. A. M. Gaouda, M. M. A. Salama, M. R. Sultan, and A.Y. Chikhani, (2000). “Power Quality Detection and Classification Using Wavelet- Multiresolution Signal Processing,” IEEE Trans.Power Delivery, Vol.15,No.2, pp. 478-485.

[25]. Surya Santoso, W. Mack Grady, Edward J. Powers, Jeff Lamoree and Siddharth C. Bhatt, (2000). “Characterization of Distribution Power Quality Events with Fourier and Wavelet Transforms”, IEEE Transactions on Power Delivery, Vol. 15, No. 1, pp. 247-253.

[26]. Rob polikar, “The Engineer's Ultimate Guide Book to Wavelet Analysis”.

[27]. M. A. S. Masoum, S. Jamali and N. Ghaffarzadeh, (2010). “Detection and Classification of Power Quality Disturbances Using Discrete Wavelet Transform and Wavelet Networks”, IET Science, Measurement Technology, Vol. 4, pp. 193-205.

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Research Paper

Impact of Demand-Side Management on Power System Reliability

E. M. Saied* , S. Soliman, S. A. Mahmoud*, H. M. Gad-Alla****

* Faculty of Engineering, Shoubra- Benha University, Egypt.

__ Hot Laboratories Center, Atomic Energy Authority, Egypt.

Egyptian Electricity Holding Company, Egypt.

Saied, E. M., Soliman, S., Rihan, Y., Mahmoud, S. A., and Gad-Alla, H. M. (2015). Impact of Demand-Side Management on Power System Reliability. i-manager’s Journal on Electrical Engineering, 8(4), 26-33. https://doi.org/10.26634/jee.8.4.3378

Abstract

The goal of this paper is to determine the impact of Demand Side Management (DSM) programs on the power system load curve and on the power system reliability. DSM program includes the methods: Valley Filling Method, Energy Conservation Method, Peak Clipping Method, Load Shifting Method and Load Building Method. Different DSM programs were applied on the Egyptian Electricity Power System to determine the effect of DSM programs (only four methods) on maximum annual day load profile and the resultant curve was used to determine the effect of DSM on the total system cost and planning reserve margin by using Model for Energy Supply Strategy Alternatives and their General Environmental Impacts (MESSAGE) program.

References

[1]. Karl Mardira, (1998). "Demand side Management Power Audit at St Luciacampus", University of Queensland.

[2]. Ming Yang, (2006). “Demand Side Management in Nepal”, www.elsevier.com / locate / energy, Vol 31, No. 14, pp. 2677-2698.

[3]. Peng Wang and Roy Billinton, (2004). "Reliability Assessment of Restructed Power Systems Considering the Reserve Agreements", IEEE Transaction on Power Systems, Vol. 19, No. 2, pp. 972-978.

[4 Bruce Biewald and Stephen Bernow, (2013). "Electric utility system reliability analysis: Determining the need for generating capacity", Research, Boston, Massa Chusetts, 02110, (617), pp. 426-584.

[5]. Ashish Kumar, Shivani Sehgal, Deepika Arora, Aman Soni, (2013). "Capacity outage probability table calculation (COPT) of Haryana Power Generation Corporation Limited Using VM", International Journal of Technical Research (IJTR), Vol. 2, No. 2, pp. 6-11.

[6]. Ahmed S.AL – Abd elwahab, (2010). “Probabilistic Electrical Power Generation modling Using Genetic Algorithm”, International Journal of Computer Applications (0975 - 8887), Vol. 5, No. 5.

[7] Report of Egyptian Electricity Holding Company” (2011/2012) http://www.moeegov.eg/English- new//report.aspx.

[8]. User Manual, "MESSAGE Model for Energy Supply Strategy Alternatives and their General Environmental Impact", Draft, International Atomic Energy Agency, June, 2007.

[9]. R. Billinton and D. Lakhanpal, (1996). "Impact of demand-side management on reliability cost/reliability worth analysis", IEEE, Pow. Gene. Transm. Distrib., Vol. 143 No. 3, pp. 225-231.

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Review Paper

Review and Study of Different Topologiesin Sepic Converter

Kamal Singh* , Kuldeep Sahay**

* Assistant Professor, Department of Electrical Engineering, Radha Govind Engineering College Meerut.

** Professor, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow.

Singh, K., and Sahay, K., (2015). Review and Study of Different Topologies in Sepic Converter. i-manager’s Journal on Electrical Engineering, 8(4), 34-43. https://doi.org/10.26634/jee.8.4.3379

Abstract

This paper presents different topologies applied to the Single ended primary inductor converter (SEPIC) to obtain high static gain, and an overview of different types of converters. Nowadays, there is requirement of high efficiency in Dc-Dc converters for better performance of appliances. Hence, so many techniques are developed in order to increase the static gain of DC-DC converters for high efficiency and also high power solutions. New alternatives in SEPIC converter have been proposed for high and very high step-up ratio applications, which are based on new topologies known as modified SEPIC converters. These modifications give high static gain in comparison with the existing SEPIC converter and other classical converters.

References

[1]. Melo, P.F., Gules, G., Romaneli, E.F.R., & Annunziato, R.C. (2010). “A Modified SEPIC Converter for High-Power- Factor Rectifier and Universal Input Voltage Applications,”. IEEE Transactions on Power Electronics, Vol. 25, pp. 310- 321.

[2]. Ali, M., Orabi, M., Ahmed, M.E. & El-Aroudi, A. ( 2010). “Design Consideration of Modified SEPIC Converter for LED Lamp Driver”, IEEE International Symposium on Power Electronics for Distributed Generation Systems, Vol. 2, pp. 394 – 399.

[3]. Gules, R., Santos, W.M., Annunziato, R.C., Romaneli, E.F.R. & Andrea, C.Q. (2011). “A modified SEPIC converter with high static gain for renewable applications”, Power Electronics Conference, pp. 162 – 167.

[4]. Capua, G.D. & Femia, N. (2014). “A Critical Investigation of Coupled Inductors SEPIC Design Issues”, IEEE Transactions On Industrial Electronics, Vol. 61, No. 6, pp. 2724-2734.

[5]. Axelrod, B. & Berkovich, Y. (2011). “New coupledinductor SEPIC converter with very high conversion ratio and reduced voltage stress on the switches”, Tele - communications Energy Conference, pp. 1 – 7.

[6]. Veerachary, M. (2005). “Power tracking for nonlinear PV sources with coupled inductor SEPIC converter”, Aerospace and Electronic Systems, IEEE Transactions, Vol. 41, pp. 1019 – 1029.

[7]. Hsiu, L., Kerwin, W., Witulski, A.F., Carlsten, R. & Ghotbi, R. (1992). “A coupled-inductor, zero-voltage-switched dual-SEPIC converter with low output ripple and noise,” Telecommunications Energy Conference, pp. 186 – 193.

[8]. Ranjana, M.S.B., Reddy, N.S. & Kumar, R.K.P. (2014). “A Novel SEPIC Based Dual Output DC-DC Converter for Solar Applications,” Power and Energy Systems: Towards Sustainable Energy, pp. 1-5.

[9]. Duran, E., Segura, F., Galan, J. & Cardona, M.S. (2008). “An approach to obtain the V-I characteristic of fuel cells by means of DC-DC converters,” Industrial Electronics, Annual Conference of IEEE, pp. 2290 – 2295.

[10]. Gao, Q., Shen, S. & and Wang, J. (2011). “A control circuit architecture based on SEPIC topology for off-grid wind power generation,” International Conference on Electronics, Communications and Control, pp. 9 – 12.

[11]. Cavallaro, C., Chimento, F., Musumeci, S. & Raciti, A. (2009). “A voltage sensing approach for maximum power tracking in integrated photovoltaic applications,” International Conference on Clean Electrical Power, pp. 691 – 698.

[12]. Song, M.S., Oh, E.S. & Kang, B.K. (2012). “Modified SEPIC having enhanced power conversion efficiency,” Electronics Letters, Vol. 48, No. 18, pp 1151-1153.

[13]. Axelrod, B. & Berkovich, Y. (2011). “New coupledinductor SEPIC converter with very high conversion ratio and reduced voltage stress on the switches,” Telecommunications Energy Conference, pp. 1 – 7.

[14]. Spiazzi, G. and Rossetto, L. (1994). “High-quality rectifier based on coupled-inductor SEPIC topology,” Power Electronics Specialists Conference, Vol. 11, pp. 336 – 341.

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[16]. Kamnarn, U. & Chunkag, V. (2005). “Analysis and design of a parallel and source splitting configuration using SEPIC modules based on power balance control technique,” International Conference on Industrial Technology, pp. 1415 – 1420.

[17]. Tuofu, L., Zhengshi, W., Jinyong, P., Zhenli, L. & Hao, M. (2013). “Improved high step-up DC-DC converter based on active clamp coupled inductor with voltage double cells,” Industrial Electronics Society, Annual Conference, pp. 864 – 869.

[18]. Bonfa, V.A., Menegaz, P.J.M., Vieira, J.L.F. & Simonetti, D.S.L. (2002). “Multiple alternatives of regenerative snubber applied to Sepic and Cuk converters,” Industrial Electronics Society, Annual Conference, Vol. 1, pp. 123 – 128.

[19]. Park, K.B., Seong, H.W., Kim, H.S., Moon, G.W. & Youn, M.J. (2008). “Integrated boost- SEPIC converter for high step-up applications,” Power Electronics Specialists Conference, pp. 944 – 950.

[20]. Sarwan, S. & Rahim, N.A. (2011). “Simulation of integrated SEPIC converter with multiplier cell for standalone PV application,” Clean Energy and Technology IEEE Conference, pp. 213 – 218.

[21]. Dreher, J.R., Andrade, A.M.S.S., Schuch, L. & Martins, M.L. (2013). “Extended methodology to synthesize high step-up integrated DC-DC converters,” European Conference on Power Electronics and Applications, pp. 1 – 10.

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i-manager's Journal on Electrical Engineering (JEE)

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Volume 8 Issue 4 April - June 2015

Transient Analysis of High-Phase Induction Machines

M. Rizwan Khan* , Islam Khan**

* Associate Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India ** Assistant Professor, ACN College of Engineering and Management Studies, Aligarh, India.

Khan, M. R., and Khan, I. (2015). Transient Analysis of High-Phase Induction Machines. i-manager’s Journal on Electrical Engineering, 8(4), 1-6. https://doi.org/10.26634/jee.8.4.3375

Abstract

References

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Bearing Fault Detection in PWM Inverter Fed Induction Motor Drives by Transformative Techniques

Khadim Moin Siddiqui* , Kuldeep Sahay**, V. K. Giri***

Siddiqui, K. M., Sahay, K., and Giri, V. K. (2015). Transient Analysis of High-Phase Induction Machines. i-manager’s Journal on Electrical Engineering, 8(4), 7-18. https://doi.org/10.26634/jee.8.4.3376

Abstract

References

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SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals

Anand Deshmukh* , Shekhappa G. Ankaliki **

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad. ** Professor and PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.

Deshmukh, A., and Ankaliki, S. G. (2015). SYMLET Wavelet Transform Applied to Inspect Power Quality Disturbance-Generated Signals. i-manager’s Journal on Electrical Engineering, 8(4), 19-25. https://doi.org/10.26634/jee.8.4.3377

Abstract

References

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Impact of Demand-Side Management on Power System Reliability

E. M. Saied* , S. Soliman**, S. A. Mahmoud***, H. M. Gad-Alla****

* Faculty of Engineering, Shoubra- Benha University, Egypt. **_***_***** Hot Laboratories Center, Atomic Energy Authority, Egypt. **** Egyptian Electricity Holding Company, Egypt.

Saied, E. M., Soliman, S., Rihan, Y., Mahmoud, S. A., and Gad-Alla, H. M. (2015). Impact of Demand-Side Management on Power System Reliability. i-manager’s Journal on Electrical Engineering, 8(4), 26-33. https://doi.org/10.26634/jee.8.4.3378

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Review and Study of Different Topologiesin Sepic Converter

Kamal Singh* , Kuldeep Sahay**

* Assistant Professor, Department of Electrical Engineering, Radha Govind Engineering College Meerut. ** Professor, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow.

Singh, K., and Sahay, K., (2015). Review and Study of Different Topologies in Sepic Converter. i-manager’s Journal on Electrical Engineering, 8(4), 34-43. https://doi.org/10.26634/jee.8.4.3379

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* Associate Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India

** Assistant Professor, ACN College of Engineering and Management Studies, Aligarh, India.

Khadim Moin Siddiqui* , Kuldeep Sahay, V. K. Giri*

* Assistant Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.

** Professor and PG Coordinator, Department of Electrical and Electronics Engineering, SDM College of Engineering, Dharwad.

E. M. Saied* , S. Soliman, S. A. Mahmoud*, H. M. Gad-Alla****

* Faculty of Engineering, Shoubra- Benha University, Egypt.

__ Hot Laboratories Center, Atomic Energy Authority, Egypt.

Egyptian Electricity Holding Company, Egypt.

* Assistant Professor, Department of Electrical Engineering, Radha Govind Engineering College Meerut.

** Professor, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow.